At Franklin Templeton, everything we do is focused on one thing delivering better client outcomes. We do that by partnering closely with our clients, assessing their strategic needs, and identifying the solution or solutions that can meet the challenge.
Over 12,000 employees working in 34 countries around the world are dedicated to servicing investment solutions for our clients in more than 160 countries.
For more than 70 years our success has been a direct result of the talent, skills and persistence of our people, and we are looking for qualified candidates to join our team.
What is the Senior Data Scientist Client Analytics group responsible for?
Works individually in support of a Fintech (Wealth Management) initiative typically involving delivering against pre-defined timelines, providing support for solving complex problems by developing a variety of mathematical models and applying statistical techniques and perform ad-hoc statistical and data mining analysis as required
Designs, develops and programs methods, processes, and systems to consolidate and analyze structured or unstructured, diverse big data sources to generate actionable insights and solutions for on-going research and product enhancement.
Interacts with data management, data engineering, product, technology and service teams to identify questions and issues for data analysis and experiments
Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
Ability to Identify meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to business leaders (or organizations through out the enterprise)
What are the ongoing responsibilities of an Senior Data Scientist?
Mathematical Modelling :
Demonstrates Expertise in advanced mathematics, especially mathematical finance
Demonstrates a good grasp of probability distributions and stochastic calculus
Designs and validates mathematical models to find interlinkages and applications of academic models within a business context
Works on mathematical optimization modules similar to Traveling salesman problems under multivariate constraints. Familiarity with Lagrangian multivariate optimization problems a plus
Analyzes and interprets the results of research experiments through statistical models Solves analytical problems utilizing large structured, semi-structured and un-structured data in a distributed processing environment.
Data Analysis :
Collects data from disparate systems, analyzes and delivers the data as intelligence that is actionable
Uses distributed and parallel processing frameworks like Spark for the analysis
Statistical Analysis (Data Mining and Advanced Analytical Techniques)
Develops predictive, statistical, behavioral, or other models using supervised and un-supervised machine learning / statistical modeling techniques
Performs ad hoc statistical and data mining analyses
Training, Research and Development
What ideal qualifications, skills & experience would help someone to be successful?
Masters degree in Quantitative Finance / Financial Engineering / CQF from Tier-1 or Tier -2 Institutes (Mandatory)
4-6 years of experience in data science
Certifications in Financial Mathematics or related subjects from institutes such as IIQF, IFMR, TIFR etc would be highly valued
Understanding and prior experience with financial markets (Mandatory)
Knowledge of and Experience with Stochastic calculus, Simulations, Linear Algebra, statistical modeling, Time series analysis (especially state space models) (Mandatory)
Knowledge and experience of key machine learning and deep learning framework, e.g. Keras, TensorFlow
Hands on Experience in Python (Mandatory)
Proven Experience in Statistical and Mathematical modelling
Experience in SQL
Other Skills :
Proven ability to take initiative and work under pressure in a changing / growing environment
Should be self-driven and be able to work in an unstructured environment
Proven ability to work with ambiguous (not well defined) challenges
Excellent written and verbal communication skills
Displays curiosity to learn and learns independently
Ability to translate business challenges into analytical problems
Able to cultivate interpersonal customer and co-worker relationships
Ability to articulate and explain statistical / machine learning techniques to business partners
Ability to work individually or as a team as task requires
What makes Franklin Templeton Investments unique? In addition to the dynamic and professional environment at Franklin Templeton, we strive to ensure that our employees have access to a competitive and valuable set of the mix of both monetary and non-monetary rewards provided to you in recognition for your time, talents, efforts, and results.
Highlights of our benefits include :
Professional development growth opportunities through in-house classes and over 150 Web-based training courses
An educational assistance program to financially help employees seeking continuing education
Medical, Life, and Personal Accident Insurance benefit for employees. Medical insurance also covers employee’s dependents (spouses, children and dependent parents)
Life Insurance for protection of employees families
Personal accident insurance for protection of employees and their families
Personal loan assistance
Employee Stock Investment Plan (ESIP)
Onsite fitness center, recreation center, and cafeteria
Cricket grounds and gymnasium
Health Center with doctor availability
Tuition Assistance Program
HDFC ATM on the campus